Building the capacity for psycho-Oncology research: a survey of the research barriers and training needs within the International Psycho-Oncology Society
Bibliographic record
Abstract
BACKGROUND: The International Psycho-Oncology Society (IPOS) is a multidisciplinary professional network that aims to improve psychosocial care for individuals impacted by cancer. IPOS encourages research activity, recognizing that a high-quality evidence base is essential to provide best-practice, data-driven clinical care. This study aimed to determine the barriers to research involvement and the training needs and priorities of IPOS members, with the goal of facilitating the development of training resources tailored to the needs of IPOS members. METHODS: A link to an online, cross-sectional survey was disseminated to all registered members of IPOS via email. The online survey platform SimpleSurvey was used, and questions included demographic characteristics and items related to research interests, involvement, and training needs. High priority research training needs were identified as research tasks respondents rated as highly important, yet possessed a low perceived skill level in. RESULTS: Thirty-two percent of IPOS members (n = 142) completed the survey. Participants represented 49 countries and were at a variety of career stages. Overall, participants reported spending an average of 17.3 hours per week on research (range 0-80 hours per week), with 69% of respondents wanting to increase their research involvement. The main barriers to research participation included lack of research funding (80%) and lack of protected time (63%). IPOS members identified 5 high-priority training needs: preparing successful grant applications; preparing research budgets; community-based participatory research; working with decision makers; and finding collaborators or expert consultants. Participants suggested funding access, statistical advisors, and networking and mentorship opportunities as ways to enhance research involvement. Members preferred online training modules (39%) and mentorship programs (19%) as methods by which IPOS could provide research support. IPOS was viewed as being able to contribute to many aspects of research capacity building such as networking, training, and dissemination of research findings. CONCLUSIONS: IPOS has an important role in encouraging research capacity building among members. This survey provides an agenda for workshops and training opportunities. Mainly, for respondents it was less about training in research methods and more about training in how to prepare successful grant applications, including budgets, and receiving mentorship on this as well as having opportunities to collaborate with other researchers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.098 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".